When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. As policymakers race ...

The facial biometrics company will be the main biometric technology partner in a new research center focused on combating ...

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct sensitive training data from model outputs. Membership inference attacks allow ...

Explore how multi-party computation (MPC) protocols enable secure threshold signatures, driving trust and security in blockchain and crypto systems.

Beyond just laws, there’s a growing movement towards creating ethical guidelines for AI. Think of these as the conscience of ...

Fhenix, a pioneering developer of encrypted smart contracts with fully homomorphic encryption (FHE), has achieved a new milestone for blockchain privacy with the development of its cutting-edge ...

This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...